DOI QR코드

DOI QR Code

의사결정나무 분석기법을 이용한 농촌거주 노인의 우울예측모형 구축

A Predictive Model of Depression in Rural Elders-Decision Tree Analysis

  • 투고 : 2012.10.12
  • 심사 : 2013.06.06
  • 발행 : 2013.06.30

초록

Purpose: This descriptive study was done to develop a predictive model of depression in rural elders that will guide prevention and reduction of depression in elders. Methods: A cross-sectional descriptive survey was done using face-to-face private interviews. Participants included in the final analysis were 461 elders (aged${\geq}$ 65 years). The questions were on depression, personal and environmental factors, body functions and structures, activity and participation. Decision tree analysis using the SPSS Modeler 14.1 program was applied to build an optimum and significant predictive model to predict depression in rural elders. Results: From the data analysis, the predictive model for factors related to depression in rural elders presented with 4 pathways. Predictive factors included exercise capacity, self-esteem, farming, social activity, cognitive function, and gender. The accuracy of the model was 83.7%, error rate 16.3%, sensitivity 63.3%, and specificity 93.6%. Conclusion: The results of this study can be used as a theoretical basis for developing a systematic knowledge system for nursing and for developing a protocol that prevents depression in elders living in rural areas, thereby contributing to advanced depression prevention for elders.

키워드

참고문헌

  1. Aihara, Y., Minai, J., Aoyama, A., & Shimanouchi, S. (2011). Depressive symptoms and past lifestyle among Japanese elderly people. Community Mental Health Journal, 47(2), 186-193. http://dx.doi.org/10.1007/s10597-010-9317-1
  2. Cho, M. J., Bae, J. N., Suh, G. H., Hahm, B. J., Kim, J. K., Lee, D. W., et al. (1999). Validation of geriatric depression scale, Korean version (GDS) in the assessment of DSM-III-R major depression. Journal of Korean Neuropsychiatric Association, 38(1), 48-63.
  3. Choi, H. J. (2006). Depression and cognitive function of the elderly using the welfare facilities for the aged in the community. Journal of Korean Public Health Nursing, 20(2), 119-129.
  4. Delmater, R., & Hancock, M. (2001). Data mining explained: A manager's guide to customer-centric business intelligence. Boston, MA: Digital Press.
  5. Folstein, M. F., Bassett, S. S., Anthony, J. C., Romanoski, A. J., & Nestadt, G. R. (1991). Dementia: Case ascertainment in a community survey. Journal of Gerontology, 46(4), M132-M138. https://doi.org/10.1093/geronj/46.4.M132
  6. Jeon, H. S., & Kahng, S. K. (2009). Predictors of depression trajectory among the elderly: Using the Korean welfare panel data. Journal of the Korean Gerontological Society, 29(4), 1611-1628.
  7. Kang, D. K. (2009). A study on the classification criteria between urban and rural area. Journal of Agricultural Extension & Community Development, 16(3), 557-586.
  8. Kim, B. K. (2003). Correlational study between physical activity and depression and cognitive function among elderly people. Unpublished master' thesis, Yonsei University, Seoul.
  9. Kim, D. B., & Sohn, E. S. (2005). A meta-analysis of the variables related to depression in elderly. Journal of the Korean Gerontological Society, 25(4), 167-187.
  10. Kim, K. B., & Sok, S. R. (2009). Factors influencing depression of the elderly. Journal of Korean Academy of Community Health Nursing, 20(2), 197-206.
  11. Kim, O. S., Yang, S. J., Kim, J. H., Kim, N. Y., & Jeon, H. O. (2007). Leisure activities, cognitive function and depression in female elderly. Journal of Korean Academy of Adult Nursing, 19(3), 436-446.
  12. Kim, Y. J. (2009). Mediating effects of social supports on the decrease of depression of the rural elderly. Journal of Welfare for the Aged, 46, 77-104.
  13. Kim, Y. S., Yoo, M. S., & Park, J. H. (2009). Factors influencing depression in community-dwelling elderly with low income. Journal of the Korean Gerontological Society, 29(4), 1313-1325.
  14. Lee, D. Y., Lee, K. U., Lee, J. H., Kim, K. W., Jhoo, J. H., Youn, J. C., et al. (2002). A normative study of the mini-mental state examination in the Korean elderly. Journal of Korean Neuropsychiatric Association, 41(3), 508-525.
  15. Lee, H. S. (2008). Health status and utilization of long-term care facility in the urban and rural aged. Journal of Korean Academy of Community Health Nursing, 19(2), 260-269.
  16. Lee, Y. H. (2003). The impact of familial risk factors on the psycho-social effects of elder abuse. Korean Journal of Family Social Work, 11, 35-57.
  17. Lee, Y. H., Lee, K. J., Han, G. S., Yoon, S. J., Lee, Y. K., Kim, C. H., et al. (2002). The development of physical functioning scale for community-dwelling older persons. Korean Journal of Preventive Medicine, 35(4), 359-374.
  18. Ministry of Health and Welfare. (2009). 2008 living profiles and welfare service needs of older persons in Korea survey. Seoul: Author.
  19. Moon, M. J. (2010). Factors influencing depression in elderly people living at home. Journal of Korean Academy of Nursing, 40(4), 542-550. http://dx.doi.org/10.4040/jkan.2010.40.4.542
  20. Nam, K. M., & Park, H. J. (2010). The influence of participation in religious and social activities of the elderly on their life satisfaction: Focusing on depression and death anxiety. Journal of Welfare for the Aged, 49, 405-427.
  21. Rho, B. I., & Mo, S. H. (2007). The effect of levels and dimensions of social support on geriatric depression. Journal of the Korean Gerontological Society, 27(1), 53-69.
  22. Rosenberg, M. (1965). Society and the adolescent self-image. Princeton, NJ: Princeton University Press.
  23. Sheikh, J. I., & Yesavage, J. (1986). Geriatric depression scale (GDS): Recent evidence and development of a shorter version. In T. L. Brink (Ed.),Clinical gerontology: A Guide to assessment and intervention (pp. 165-173). New York, NY: Routledge.
  24. Shin, K. R., Jung, D., Jo, I., & Kang, Y. (2009). Depression among community- dwelling older adults in Korea: A prediction model of depression. Archives of Psychiatric Nursing, 23(1), 50-57. http://dx.doi.org/10.1016/j.apnu.2008.03.001
  25. Shmueli, G., Patel, N. R., & Bruce, P. C. (2006). Data Mining for business intelligence: Concepts, techniques, and applications in microsoft office excel with XLMiner. Hoboken, NJ: John Wiley and Sons.
  26. Song, M. S., Kim, S. K., & Kim, N. C. (2011). A study on the correlation between elderly women' depression and physical fitness. The Journal of Korean Biological Nursing Science, 13(1), 37-43.
  27. St John, P. D., Blandford, A. A., & Strain, L. A. (2009). Does a rural residence predict the development of depressive symptoms in older adults? Canadian Journal of Rural Medicine, 14(4), 150-156.
  28. Statistics Korea. (2011). 2010 agriculture, forestry & fishery census report. Daejeon: Author.
  29. Suh, G. H., Kim, J. K., Yeon, B. K., Park, S. K., Yoo, K. Y., Yang, B. K., et al. (2000). Prevalence and risk factors of dementia and depression in the elderly. Journal of Korean Neuropsychiatric Association, 39(5), 809-824.
  30. World Health Organization. (2001). International classification of functioning, disability and health (ICF). Retrieved August 16, 2010, from http://www.who.int/classifications/icf/en/

피인용 문헌

  1. 관절염 노인의 우울위험요인 vol.8, pp.1, 2013, https://doi.org/10.12811/kshsm.2014.8.1.103
  2. Factors related to Depression of Rural Elders vol.17, pp.1, 2013, https://doi.org/10.17079/jkgn.2015.17.1.56
  3. 국민건강영양조사자료에 기초한 남성노인의 우울 영향 요인 분석 vol.27, pp.5, 2013, https://doi.org/10.7475/kjan.2015.27.5.583
  4. 농촌지역 여성노인의 우울에 미치는 융복합적 영향요인 vol.16, pp.5, 2013, https://doi.org/10.14400/jdc.2018.16.5.341
  5. 농촌지역 여성노인의 우울에 미치는 융복합적 영향요인 vol.16, pp.5, 2013, https://doi.org/10.14400/jdc.2018.16.5.341